Academic Journal of Engineering and Technology Science, 2025, 8(5); doi: 10.25236/AJETS.2025.080503.
Feng Zhao
Air China Cargo Co., Ltd., Beijing, China
As a key rotating component located at the front end of an aircraft engine, the dynamic balance performance of fan blades directly determines the overall operational safety, efficiency, and service life of the engine. Traditional balancing methods rely on passive post-assembly adjustments, which are inefficient and pose potential safety risks, making them difficult to meet the high-reliability requirements of modern aviation. With the popularization of intelligent manufacturing technologies, the “pre-calculated balancing scheme” has become a core strategy for improving fan blade balancing accuracy and reducing maintenance costs. Taking the wide-chord fan blades of wide-body aircraft engines as the research object, this paper systematically explores the application mechanism, key technical paths, and industrial practices of the pre-balancing scheme. By integrating rotor dynamics, big data analysis, and intelligent optimization algorithms, this study reveals how the pre-calculated scheme achieves the goal of “one-time successful assembly” and significantly reduces on-site correction efforts. Empirical analysis shows that the scheme can improve balancing efficiency by more than 30% and reduce vibration-related failure rates by 40%, providing strong support for the intelligent development of aviation maintenance. In the future, by combining with the Industrial Internet and AI technologies, this research will contribute forward-looking insights to the formulation of global aviation safety standards. The results demonstrate that the pre-calculated balancing scheme is not only a revolutionary innovation in aircraft engine maintenance but also a driving force for the industry’s digital and intelligent transformation, offering broad engineering application prospects and market value.
Aircraft Engine; Fan Blade; Pre-Balancing; Pre-Calculated Balancing Scheme; Intelligent Maintenance; Rotor Dynamics; Digital Simulation
Feng Zhao. Application and Research of Pre-Calculated Balancing Scheme in the Pre-Balancing of Aircraft Engine Fan Blades. Academic Journal of Engineering and Technology Science (2025), Vol. 8, Issue 5: 19-24. https://doi.org/10.25236/AJETS.2025.080503.
[1] Zhang Lei & Wang Yong. (2020). Data-Driven Maintenance Strategies for Aircraft Engines. Journal of Aerospace Engineering, 33(4), 04020036.
[2] Liu Jian & Chen Xiao. (2021). Predictive Maintenance of Aircraft Engines Based on Machine Learning. Aviation Technology, 6(2), 101–112.
[3] Sun Qiang & Li Hua. (2022). Optimization of Aircraft Engine Maintenance Using Simulation Technology. Journal of Aircraft Maintenance, 45(3), 102–110.
[4] Feng Zhi & Zhao Min. (2023). Application of Big Data in Aircraft Engine Maintenance. Aerospace Science and Technology, 128, 107846.